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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/12943

Title: ℓ1 LS and ℓ2 MMSE-based Hybrid Channel Estimation for Intermittent Wireless Connections
Authors: Takano, Yasuhiro
Juntti, Markku
Matsumoto, Tad
Keywords: Subspace-based channel estimation
turbo channel estimation
compressed sensing
orthogonal matching pursuit (OMP)
Akaike information criterion (AIC)
Bayesian information criterion (BIC)
Issue Date: 2015-08-25
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: IEEE Transactions on Wireless Communications
Volume: 15
Number: 1
Start page: 314
End page: 328
DOI: 10.1109/TWC.2015.2472418
Abstract: Broadband wireless channels observed at a receiver cannot fully exhibit dense nature in a low to moderate signalto- noise ratio (SNR) regime, if the channels follow a typical propagation scenario such as Vehicular-A or Pedestrian-B. It is hence expected that ℓ1 regularized channel estimation methods can improve channel estimation performance in the broadband wireless channels. However, it is well-known that the ℓ2 multiburst (MB) channel estimation achieves the Cram´er-Rao bound (CRB) asymptotically. This is because the ℓ2 MB technique formulated as a minimum mean square error (MMSE) problem improves the mean squared error (MSE) performance by utilizing the subspace projection. Performance analysis shows that ℓ1 regularized channel estimation does not improve the MSE performance significantly over the ℓ2 MB technique so far as the subspace channel model assumption is correct. We demonstrate, however, a receiver with ℓ1 regularized channel estimation can improve bit error rate (BER) performance if the assumption is not always correct. For this purpose, we focus on intermittent transmission (TX) scenario which is defined as a generalized TX sequence having arbitrary length interruption between two continuous TX bursts. A receiver with the ℓ2 MB method suffers from BER deterioration in an intermittent TX scenario having abrupt channel changes. As a solution to the problem, we propose a new algorithm which is a hybrid of ℓ1 regularized least square (LS) and ℓ2 MMSE channel estimation techniques. Simulation results show that the receiver with the proposed algorithm achieves a significant BER gain over that of the ℓ2 MB technique in the intermittent TX scenario.
Rights: This is the author's version of the work. Copyright (C) 2015 IEEE. IEEE Transactions on Wireless Communications, 15(1), 2015, 314-328. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/12943
Material Type: author
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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